Perception of difficulty with Random Curve

## Ignorer les outliers relatifs à l'utilisation de l'échelle de confiance :  FALSE

## Résultats basés sur la l'échelle de confiance :  FALSE

## Version courte :  FALSE

## Avec analyse des profils de joueurs :  TRUE

## Nombre de participants à l'expérimentation :  138

## Nombre de participants se déclarant comme joueurs :  71

## Nombre de femmes se déclarant comme joueuses :  5

## Age médian des joueurs :  15

Removing Outliers

## [1] "Outliers BET STANDARD DEVIATION: 135499aaw, 9l7s14ocz, 9l7s14ocz, g6m2iu73e, lpc2zjkex, srn0c21wi"

## [1] "Outliers BET STANDARD DEVIATIONtype : Logique, Logique, Sensoriel, Sensoriel, Sensoriel, Sensoriel"

## Empty data.table (0 rows) of 1 col: IDjoueur

## Warning: Removed 30 rows containing missing values (geom_path).

## Warning: Removed 30 rows containing missing values (geom_path).

## Warning: Removed 30 rows containing missing values (geom_path).

## Warning: Removed 30 rows containing missing values (geom_path).

## Empty data.table (0 rows) of 1 col: IDjoueur

## Warning: Removed 30 rows containing missing values (geom_path).

## Warning: Removed 30 rows containing missing values (geom_path).

## Empty data.table (0 rows) of 1 col: IDjoueur

## [1] "Outliers BET SAVED SHEEPS: at13n1mb2, srn0c21wi"

## Empty data.table (0 rows) of 1 col: IDjoueur

## Warning: Removed 30 rows containing missing values (geom_path).

## Warning: Removed 30 rows containing missing values (geom_path).

## Empty data.table (0 rows) of 1 col: IDjoueur

## Empty data.table (0 rows) of 1 col: IDjoueur

## [1] "Outliers : 2lvqyyzt9, 3t1l09dyk, 3t1l09dyk, b62w478su, byo2x6jan, e0tdz7cvh, e0tdz7cvh"

## [1] "Outliers type : Moteur, Logique, Moteur, Logique, Moteur, Moteur, Sensoriel"

## Warning: Removed 30 rows containing missing values (geom_path).

## Warning: Removed 30 rows containing missing values (geom_path).

## Warning: Removed 30 rows containing missing values (geom_path).

## Warning: Removed 30 rows containing missing values (geom_path).

## Empty data.table (0 rows) of 1 col: IDjoueur

## Warning: Removed 30 rows containing missing values (geom_path).

## Empty data.table (0 rows) of 1 col: IDjoueur

## Warning: Removed 30 rows containing missing values (geom_path).

## Warning: Removed 30 rows containing missing values (geom_path).

## Empty data.table (0 rows) of 1 col: IDjoueur

## [1] "Total number of participants :  138"

## [1] "Total number of outliers:  11"

## [1] "- total number of outliers motor task:  4"

## [1] "- total number of outliers perceptive task:  4"

## [1] "- total number of outliers logical task:  6"

## [1] "Outliers:  135499aaw, 2lvqyyzt9, 3t1l09dyk, 9l7s14ocz, at13n1mb2, b62w478su, byo2x6jan, e0tdz7cvh, g6m2iu73e, lpc2zjkex, srn0c21wi"

## [1] "Total number of participants after removing outliers:  138"

## [1] "- motor:  133"

## [1] "- perceptive:  129"

## [1] "- logical:  131"

Modeling difficulty

Modeling objective difficulty for motor task

## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: perdant ~ difficulty + timeNorm + (1 | IDjoueur)
##    Data: DTM
## 
##      AIC      BIC   logLik deviance df.resid 
##   5041.0   5066.1  -2516.5   5033.0     3928 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.3099 -0.8283 -0.4231  0.8928  2.8841 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 0.6053   0.778   
## Number of obs: 3932, groups:  IDjoueur, 133
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  -1.0701     0.1167  -9.168  < 2e-16 ***
## difficulty    3.0434     0.1762  17.270  < 2e-16 ***
## timeNorm     -0.4806     0.1239  -3.878 0.000105 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) dffclt
## difficulty -0.526       
## timeNorm   -0.439 -0.189

## Warning: 'r.squaredGLMM' now calculates a revised statistic. See the help
## page.

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## 
##  Logique2   Motrice Sensoriel 
##         0      3932         0 
## [1] "Player levels from ranef:"
##   (Intercept)        
##  Min.   :-1.9658150  
##  1st Qu.:-0.4623331  
##  Median : 0.0164890  
##  Mean   : 0.0007611  
##  3rd Qu.: 0.3730884  
##  Max.   : 1.8933326  
## [1] "Intercept: -1.07 4.8e-20 ***"
## [1] "Difficulty: 3.04 7.9e-67 ***"
## [1] "Time: -0.481 0.00011 ***"
## [1] "R2 fixed: 0.15"
## [1] "R2 mixed: 0.28"
## [1] "Cross Val: 0.65"
## [1] "AIC: 5000"

##         0%        25%        50%        75%       100% 
## -1.8933326 -0.3730884 -0.0164890  0.4623331  1.9658150

## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: perdant ~ difficulty + timeNorm + (1 | IDjoueur)
##    Data: DTMXp1
## 
##      AIC      BIC   logLik deviance df.resid 
##   3032.1   3055.0  -1512.1   3024.1     2246 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.9532 -0.8541 -0.5728  0.9557  2.1336 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 0.6666   0.8165  
## Number of obs: 2250, groups:  IDjoueur, 75
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  -1.0964     0.1620  -6.769  1.3e-11 ***
## difficulty    3.1475     0.3467   9.078  < 2e-16 ***
## timeNorm     -0.4757     0.1695  -2.806  0.00501 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) dffclt
## difficulty -0.584       
## timeNorm   -0.207 -0.417

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## singular fit

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## singular fit

## 
##  Logique2   Motrice Sensoriel 
##         0      2250         0 
## [1] "Player levels from ranef:"
##   (Intercept)       
##  Min.   :-2.059688  
##  1st Qu.:-0.403580  
##  Median : 0.059146  
##  Mean   : 0.003433  
##  3rd Qu.: 0.436551  
##  Max.   : 1.945621  
## [1] "Intercept: -1.1 1.3e-11 ***"
## [1] "Difficulty: 3.15 1.1e-19 ***"
## [1] "Time: -0.476 0.005 **"
## [1] "R2 fixed: 0.12"
## [1] "R2 mixed: 0.27"
## [1] "Cross Val: 0.61"
## [1] "AIC: 3000"

##          0%         25%         50%         75%        100% 
## -1.94562094 -0.43655091 -0.05914569  0.40358031  2.05968829

## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: perdant ~ difficulty + timeNorm + (1 | IDjoueur)
##    Data: DTMXp2
## 
##      AIC      BIC   logLik deviance df.resid 
##   2016.5   2038.2  -1004.3   2008.5     1678 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.1935 -0.7469  0.2908  0.7381  2.8784 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 0.559    0.7476  
## Number of obs: 1682, groups:  IDjoueur, 58
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  -1.0580     0.1843   -5.74 9.48e-09 ***
## difficulty    3.0160     0.2115   14.26  < 2e-16 ***
## timeNorm     -0.5213     0.1990   -2.62  0.00879 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) dffclt
## difficulty -0.541       
## timeNorm   -0.572 -0.008

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## 
##  Logique2   Motrice Sensoriel 
##         0      1682         0 
## [1] "Player levels from ranef:"
##   (Intercept)      
##  Min.   :-1.05422  
##  1st Qu.:-0.44100  
##  Median :-0.11748  
##  Mean   :-0.00241  
##  3rd Qu.: 0.33077  
##  Max.   : 1.65790  
## [1] "Intercept: -1.06 9.5e-09 ***"
## [1] "Difficulty: 3.02 3.8e-46 ***"
## [1] "Time: -0.521 0.0088 **"
## [1] "R2 fixed: 0.17"
## [1] "R2 mixed: 0.29"
## [1] "Cross Val: 0.68"
## [1] "AIC: 2000"

##         0%        25%        50%        75%       100% 
## -1.6579021 -0.3307656  0.1174780  0.4410031  1.0542161

##         0%        25%        50%        75%       100% 
## -1.8933326 -0.3730884 -0.0164890  0.4623331  1.9658150

## `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

## `geom_smooth()` using method = 'loess' and formula 'y ~ x'

## `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

## `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

Modeling objective difficulty for sensory task

## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: perdant ~ difficulty + timeNorm + (1 | IDjoueur)
##    Data: DTS
## 
##      AIC      BIC   logLik deviance df.resid 
##   3905.3   3930.3  -1948.7   3897.3     3808 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -7.0865 -0.6298  0.0627  0.6530  6.3109 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 1.024    1.012   
## Number of obs: 3812, groups:  IDjoueur, 129
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  -2.6214     0.1566 -16.735   <2e-16 ***
## difficulty    8.3537     0.3299  25.323   <2e-16 ***
## timeNorm     -0.2865     0.1468  -1.952    0.051 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) dffclt
## difficulty -0.603       
## timeNorm   -0.377 -0.175

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## 
##  Logique2   Motrice Sensoriel 
##         0         0      3812 
## [1] "Player levels from ranef:"
##   (Intercept)       
##  Min.   :-2.419861  
##  1st Qu.:-0.718520  
##  Median : 0.092671  
##  Mean   : 0.002024  
##  3rd Qu.: 0.618770  
##  Max.   : 2.262230  
## [1] "Intercept: -2.62 7.3e-63 ***"
## [1] "Difficulty: 8.35 1.8e-141 ***"
## [1] "Time: -0.286 0.051 ."
## [1] "R2 fixed: 0.52"
## [1] "R2 mixed: 0.63"
## [1] "Cross Val: 0.74"
## [1] "AIC: 3900"

##          0%         25%         50%         75%        100% 
## -2.26222969 -0.61876957 -0.09267137  0.71851955  2.41986089

## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: perdant ~ difficulty + timeNorm + (1 | IDjoueur)
##    Data: DTSXp1
## 
##      AIC      BIC   logLik deviance df.resid 
##   2532.7   2555.3  -1262.3   2524.7     2126 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.5031 -0.7242 -0.3428  0.8058  3.7576 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 0.5808   0.7621  
## Number of obs: 2130, groups:  IDjoueur, 71
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  -2.1935     0.1751 -12.529   <2e-16 ***
## difficulty    9.0967     0.5527  16.458   <2e-16 ***
## timeNorm     -0.3650     0.1824  -2.001   0.0454 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) dffclt
## difficulty -0.615       
## timeNorm   -0.317 -0.299

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## singular fit

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## singular fit

## 
##  Logique2   Motrice Sensoriel 
##         0         0      2130 
## [1] "Player levels from ranef:"
##   (Intercept)       
##  Min.   :-1.476587  
##  1st Qu.:-0.370451  
##  Median :-0.036883  
##  Mean   : 0.003092  
##  3rd Qu.: 0.449790  
##  Max.   : 1.689450  
## [1] "Intercept: -2.19 5.2e-36 ***"
## [1] "Difficulty: 9.1 7.3e-61 ***"
## [1] "Time: -0.365 0.045 *"
## [1] "R2 fixed: 0.31"
## [1] "R2 mixed: 0.42"
## [1] "Cross Val: 0.68"
## [1] "AIC: 2500"

##          0%         25%         50%         75%        100% 
## -1.68944968 -0.44979001  0.03688316  0.37045061  1.47658650

## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: perdant ~ difficulty + timeNorm + (1 | IDjoueur)
##    Data: DTSXp2
## 
##      AIC      BIC   logLik deviance df.resid 
##   1321.2   1342.9   -656.6   1313.2     1678 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -6.2359 -0.3645  0.1164  0.3616  6.4870 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 0.7109   0.8432  
## Number of obs: 1682, groups:  IDjoueur, 58
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  -3.3063     0.2522 -13.109   <2e-16 ***
## difficulty    8.1788     0.3947  20.721   <2e-16 ***
## timeNorm     -0.3117     0.2611  -1.194    0.233    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) dffclt
## difficulty -0.651       
## timeNorm   -0.517 -0.049

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## 
##  Logique2   Motrice Sensoriel 
##         0         0      1682 
## [1] "Player levels from ranef:"
##   (Intercept)        
##  Min.   :-1.6328085  
##  1st Qu.:-0.4377899  
##  Median : 0.0050928  
##  Mean   :-0.0009998  
##  3rd Qu.: 0.4336319  
##  Max.   : 1.5166769  
## [1] "Intercept: -3.31 2.9e-39 ***"
## [1] "Difficulty: 8.18 2.2e-95 ***"
## [1] "Time: -0.312 0.23 :("
## [1] "R2 fixed: 0.59"
## [1] "R2 mixed: 0.66"
## [1] "Cross Val: 0.81"
## [1] "AIC: 1300"

##           0%          25%          50%          75%         100% 
## -1.516676871 -0.433631895 -0.005092814  0.437789905  1.632808506

##          0%         25%         50%         75%        100% 
## -2.26222969 -0.61876957 -0.09267137  0.71851955  2.41986089

## `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

## `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

## `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

## `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

Modeling objective difficulty for logical task

## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: perdant ~ difficulty + timeNorm + (1 | IDjoueur)
##    Data: DTL
## 
##      AIC      BIC   logLik deviance df.resid 
##   4377.0   4402.0  -2184.5   4369.0     3868 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -5.8019 -0.6950 -0.2504  0.7406  6.5687 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 1.743    1.32    
## Number of obs: 3872, groups:  IDjoueur, 131
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  -1.7888     0.1583  -11.30   <2e-16 ***
## difficulty    5.5450     0.2354   23.56   <2e-16 ***
## timeNorm     -1.5671     0.1528  -10.25   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) dffclt
## difficulty -0.437       
## timeNorm   -0.229 -0.435

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## 
##  Logique2   Motrice Sensoriel 
##      3872         0         0 
## [1] "Player levels from ranef:"
##   (Intercept)       
##  Min.   :-2.529896  
##  1st Qu.:-0.907096  
##  Median :-0.183139  
##  Mean   : 0.004139  
##  3rd Qu.: 1.015978  
##  Max.   : 2.919945  
## [1] "Intercept: -1.79 1.3e-29 ***"
## [1] "Difficulty: 5.55 1e-122 ***"
## [1] "Time: -1.57 1.1e-24 ***"
## [1] "R2 fixed: 0.33"
## [1] "R2 mixed: 0.56"
## [1] "Cross Val: 0.72"
## [1] "AIC: 4400"

##         0%        25%        50%        75%       100% 
## -2.9199448 -1.0159784  0.1831387  0.9070956  2.5298957

## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: perdant ~ difficulty + timeNorm + (1 | IDjoueur)
##    Data: DTLXp1
## 
##      AIC      BIC   logLik deviance df.resid 
##   2800.4   2823.1  -1396.2   2792.4     2186 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.8107 -0.7874 -0.4392  0.8904  6.0665 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 1.605    1.267   
## Number of obs: 2190, groups:  IDjoueur, 73
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  -1.6680     0.1995  -8.359  < 2e-16 ***
## difficulty    4.9628     0.3975  12.485  < 2e-16 ***
## timeNorm     -1.0814     0.2169  -4.985 6.19e-07 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) dffclt
## difficulty -0.427       
## timeNorm   -0.087 -0.628

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## singular fit

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## singular fit

## 
##  Logique2   Motrice Sensoriel 
##      2190         0         0 
## [1] "Player levels from ranef:"
##   (Intercept)       
##  Min.   :-2.449898  
##  1st Qu.:-0.941926  
##  Median :-0.212044  
##  Mean   : 0.007653  
##  3rd Qu.: 1.059880  
##  Max.   : 2.364026  
## [1] "Intercept: -1.67 6.3e-17 ***"
## [1] "Difficulty: 4.96 9.1e-36 ***"
## [1] "Time: -1.08 6.2e-07 ***"
## [1] "R2 fixed: 0.25"
## [1] "R2 mixed: 0.5"
## [1] "Cross Val: 0.66"
## [1] "AIC: 2800"

##         0%        25%        50%        75%       100% 
## -2.3640256 -1.0598804  0.2120444  0.9419257  2.4498977

## Generalized linear mixed model fit by maximum likelihood (Laplace
##   Approximation) [glmerMod]
##  Family: binomial  ( logit )
## Formula: perdant ~ difficulty + timeNorm + (1 | IDjoueur)
##    Data: DTLXp2
## 
##      AIC      BIC   logLik deviance df.resid 
##   1570.7   1592.4   -781.4   1562.7     1678 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -6.1653 -0.4879 -0.1123  0.4919  5.2684 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  IDjoueur (Intercept) 1.523    1.234   
## Number of obs: 1682, groups:  IDjoueur, 58
## 
## Fixed effects:
##             Estimate Std. Error z value Pr(>|z|)    
## (Intercept)  -1.8092     0.2479  -7.298 2.93e-13 ***
## difficulty    5.7957     0.3063  18.920  < 2e-16 ***
## timeNorm     -2.1420     0.2478  -8.644  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) dffclt
## difficulty -0.487       
## timeNorm   -0.371 -0.258

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## Warning: The null model is correct only if all variables used by the
## original model remain unchanged.

## 
##  Logique2   Motrice Sensoriel 
##      1682         0         0 
## [1] "Player levels from ranef:"
##   (Intercept)       
##  Min.   :-1.830901  
##  1st Qu.:-0.751385  
##  Median :-0.160334  
##  Mean   :-0.000086  
##  3rd Qu.: 0.705291  
##  Max.   : 3.167670  
## [1] "Intercept: -1.81 2.9e-13 ***"
## [1] "Difficulty: 5.8 7.8e-80 ***"
## [1] "Time: -2.14 5.4e-18 ***"
## [1] "R2 fixed: 0.4"
## [1] "R2 mixed: 0.59"
## [1] "Cross Val: 0.8"
## [1] "AIC: 1600"

##         0%        25%        50%        75%       100% 
## -3.1676699 -0.7052908  0.1603338  0.7513846  1.8309012

##         0%        25%        50%        75%       100% 
## -2.9199448 -1.0159784  0.1831387  0.9070956  2.5298957

## `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

## `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

## `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

## `geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

Influence of Player Profiles

Player profiles

Influence of Player Profiles

Objective level and player profile

Playing video games in general and level for each task

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 2.4166, p-value = 0.01567
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##       tau 
## 0.1618425 
## 
## [1] "pvg.on.level.m 0.16 0.016 *"

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = -0.49164, p-value = 0.623
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##         tau 
## -0.03338315

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 0.34603, p-value = 0.7293
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##       tau 
## 0.0233513

Playing board games in general and level for each task

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 1.1917, p-value = 0.2334
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##        tau 
## 0.07938469

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 0.32479, p-value = 0.7453
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##        tau 
## 0.02190059

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 0.58446, p-value = 0.5589
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##        tau 
## 0.03920931

Self efficacy and level for each task

## Warning: Removed 65 rows containing missing values (geom_point).

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 0.83808, p-value = 0.402
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##        tau 
## 0.07080357

## Warning: Removed 62 rows containing missing values (geom_point).

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 2.0772, p-value = 0.03778
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##       tau 
## 0.1770288 
## 
## [1] "self.eff.on.level.s 0.18 0.038 *"

## Warning: Removed 63 rows containing missing values (geom_point).

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 1.1194, p-value = 0.263
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##        tau 
## 0.09466245

Risk aversion and level for each task

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 1.1421, p-value = 0.2534
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##        tau 
## 0.07178839

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 3.6707, p-value = 0.0002419
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##       tau 
## 0.2351992 
## 
## [1] "risk.av.on.level.s 0.24 0.00024 ***"

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 3.3298, p-value = 0.0008689
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##       tau 
## 0.2111901 
## 
## [1] "risk.av.on.level.l 0.21 0.00087 ***"

Age and level for each task

## Warning: Removed 1 rows containing missing values (geom_point).

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = -1.3827, p-value = 0.1668
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##         tau 
## -0.08439266

## Warning: Removed 1 rows containing missing values (geom_point).

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 0.89612, p-value = 0.3702
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##        tau 
## 0.05553035

## Warning: Removed 1 rows containing missing values (geom_point).

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 0.83272, p-value = 0.405
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##        tau 
## 0.05117318

Sex and level for each task

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = -5.0193, p-value = 5.186e-07
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##       tau 
## -0.358044 
## 
## [1] "sexe.on.level.m -0.36 5.2e-07 ***"

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = -0.21896, p-value = 0.8267
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##         tau 
## -0.01586312

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = -2.1189, p-value = 0.0341
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##        tau 
## -0.1523186 
## 
## [1] "sexe.on.level.l -0.15 0.034 *"

## 
##  Wilcoxon rank sum test with continuity correction
## 
## data:  B and A
## W = 837, p-value = 5.253e-07
## alternative hypothesis: true location shift is not equal to 0
## 95 percent confidence interval:
##  -0.8354452 -0.3923465
## sample estimates:
## difference in location 
##             -0.6082687 
## 
## [1] "sexe.on.level.m.2 -0.61 5.3e-07 *** mean(A): 0.19 mean(B): -0.44"

## 
##  Wilcoxon rank sum test with continuity correction
## 
## data:  B and A
## W = 1737, p-value = 0.8287
## alternative hypothesis: true location shift is not equal to 0
## 95 percent confidence interval:
##  -0.4262680  0.3163148
## sample estimates:
## difference in location 
##            -0.04041887

## 
##  Wilcoxon rank sum test with continuity correction
## 
## data:  B and A
## W = 1396, p-value = 0.03431
## alternative hypothesis: true location shift is not equal to 0
## 95 percent confidence interval:
##  -1.03913354 -0.03272135
## sample estimates:
## difference in location 
##             -0.5755567 
## 
## [1] "sexe.on.level.l.2 -0.58 0.034 * mean(A): 0.14 mean(B): -0.32"

Sub diff error and player profile

Playing video games in general and Sub diff error for each task

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 1.3939, p-value = 0.1633
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##        tau 
## 0.09335347

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = -1.1379, p-value = 0.2552
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##         tau 
## -0.07726709

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 1.1109, p-value = 0.2666
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##        tau 
## 0.07496997

Playing board games in general and Sub diff error for each task

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = -0.48996, p-value = 0.6242
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##       tau 
## -0.032639

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = -0.61061, p-value = 0.5415
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##         tau 
## -0.04117311

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = -0.5122, p-value = 0.6085
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##         tau 
## -0.03436161

Self efficacy and Sub diff error for each task

## Warning: Removed 65 rows containing missing values (geom_point).

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 0.68956, p-value = 0.4905
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##       tau 
## 0.0582561

## Warning: Removed 62 rows containing missing values (geom_point).

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 1.7192, p-value = 0.08557
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##       tau 
## 0.1465225 
## 
## [1] "self.eff.on.subj.diff.error.s 0.15 0.086 ."

## Warning: Removed 63 rows containing missing values (geom_point).

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 0.3024, p-value = 0.7623
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##        tau 
## 0.02557232

Risk aversion and Sub diff error for each task

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = -0.13484, p-value = 0.8927
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##          tau 
## -0.008475019

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = -0.16014, p-value = 0.8728
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##         tau 
## -0.01026082

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = -0.020304, p-value = 0.9838
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##          tau 
## -0.001287745

Age and Sub diff error for each task

## Warning: Removed 1 rows containing missing values (geom_point).

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = -1.7036, p-value = 0.08845
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##        tau 
## -0.1039795 
## 
## [1] "age.on.subj.diff.error.m -0.1 0.088 ."

## Warning: Removed 1 rows containing missing values (geom_point).

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 2.9207, p-value = 0.003493
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##       tau 
## 0.1809878 
## 
## [1] "age.on.subj.diff.error.s 0.18 0.0035 **"

## Warning: Removed 1 rows containing missing values (geom_point).

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = -1.4041, p-value = 0.1603
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##         tau 
## -0.08628471

Sex and Sub diff error for each task

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 0.024532, p-value = 0.9804
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##         tau 
## 0.001749971

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = 0.17313, p-value = 0.8625
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##        tau 
## 0.01254293

## 
##  Kendall's rank correlation tau
## 
## data:  Y and X
## z = -0.29485, p-value = 0.7681
## alternative hypothesis: true tau is not equal to 0
## sample estimates:
##         tau 
## -0.02119527

## 
##  Wilcoxon rank sum test with continuity correction
## 
## data:  B and A
## W = 1865, p-value = 0.9824
## alternative hypothesis: true location shift is not equal to 0
## 95 percent confidence interval:
##  -0.1393678  0.1334657
## sample estimates:
## difference in location 
##            0.001384649

## 
##  Wilcoxon rank sum test with continuity correction
## 
## data:  B and A
## W = 1814, p-value = 0.8646
## alternative hypothesis: true location shift is not equal to 0
## 95 percent confidence interval:
##  -0.04305543  0.05465721
## sample estimates:
## difference in location 
##            0.004296473

## 
##  Wilcoxon rank sum test with continuity correction
## 
## data:  B and A
## W = 1761, p-value = 0.77
## alternative hypothesis: true location shift is not equal to 0
## 95 percent confidence interval:
##  -0.1211542  0.0683642
## sample estimates:
## difference in location 
##            -0.01967828

Influence of Objective difficulty on Subjective Difficulty

All tasks

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda      pval shapesdda
##  1:      0.03125            2.202891e-05    50    30   0.17 :(         2
##  2:      0.09375            4.602537e-05    57    56   0.46 :(         2
##  3:      0.15625            1.258355e-06    58    68   0.48 :(         2
##  4:      0.21875            6.996015e-05    58    74   0.76 :(         2
##  5:      0.28125           -1.824034e-02    57    76   0.51 :(         2
##  6:      0.34375           -2.048046e-02    55    80   0.56 :(         2
##  7:      0.40625            2.381477e-02    57    79   0.58 :(         2
##  8:      0.46875            9.527487e-02    58    79   0.023 *        17
##  9:      0.53125            1.047196e-01    58    80 0.0049 **        17
## 10:      0.59375            1.428403e-01    57    79 0.0014 **        17
## 11:      0.65625            1.349501e-01    58    78 0.0031 **        17
## 12:      0.71875            1.071429e-01    58    74 0.0043 **        17
## 13:      0.78125            8.568599e-02    58    56   0.077 .         2
## 14:      0.84375            1.069216e-05    57    52   0.59 :(         2
## 15:      0.90625           -7.499863e-05    58    30   0.43 :(         2
## 16:      0.96875            0.000000e+00    58     5      <NA>         2
##     shapesrnd
##  1:         1
##  2:         1
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:        16
##  9:        16
## 10:        16
## 11:        16
## 12:        16
## 13:         1
## 14:         1
## 15:         1
## 16:         1

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda    pval shapesdda
##  1:      0.03125            2.408430e-05    37    24 0.47 :(         2
##  2:      0.09375           -1.814486e-05    39    28 0.33 :(         2
##  3:      0.15625           -4.767650e-02    45    27  0.09 .         2
##  4:      0.21875           -4.080788e-02    42    31  0.4 :(         2
##  5:      0.28125           -7.146206e-02    42    32 0.18 :(         2
##  6:      0.34375           -5.074606e-05    40    33 0.87 :(         2
##  7:      0.40625            2.853481e-02    44    34 0.55 :(         2
##  8:      0.46875            1.143330e-01    40    32 0.092 .         2
##  9:      0.53125            1.428449e-01    38    33  0.04 *        17
## 10:      0.59375            1.143383e-01    44    34 0.12 :(         2
## 11:      0.65625            9.630537e-02    42    28 0.17 :(         2
## 12:      0.71875            7.145707e-02    39    24 0.22 :(         2
## 13:      0.78125            8.027594e-06    38    17    1 :(         2
## 14:      0.84375            0.000000e+00    32     7    <NA>         2
## 15:      0.90625            0.000000e+00    31     5    <NA>         2
## 16:      0.96875            0.000000e+00    29     1    <NA>         2
##     shapesrnd
##  1:         1
##  2:         1
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:         1
##  9:        16
## 10:         1
## 11:         1
## 12:         1
## 13:         1
## 14:         1
## 15:         1
## 16:         1

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning: cannot compute confidence interval when all observations are zero
## or tied

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda      pval shapesdda
##  1:      0.03125            0.000000e+00    18    11   0.065 .         2
##  2:      0.09375            5.421263e-05    27    38   0.024 *        17
##  3:      0.15625            5.557343e-05    33    39   0.25 :(         2
##  4:      0.21875            2.619980e-05    36    41   0.29 :(         2
##  5:      0.28125           -3.577389e-02    39    52   0.13 :(         2
##  6:      0.34375           -1.596341e-02    35    58   0.44 :(         2
##  7:      0.40625           -6.265024e-02    39    58   0.32 :(         2
##  8:      0.46875            1.428880e-01    38    59   0.021 *        17
##  9:      0.53125            1.428708e-01    35    60 0.0054 **        17
## 10:      0.59375            1.785351e-01    35    56 0.0028 **        17
## 11:      0.65625            1.280153e-01    32    52   0.083 .         2
## 12:      0.71875            1.428821e-01    40    46   0.013 *        17
## 13:      0.78125            1.793176e-05    38    24    0.5 :(         2
## 14:      0.84375            4.185794e-05    39    30   0.56 :(         2
## 15:      0.90625           -1.061977e-05    31    16   0.95 :(         2
## 16:      0.96875            0.000000e+00    30     1      <NA>         2
##     shapesrnd
##  1:         1
##  2:        16
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:        16
##  9:        16
## 10:        16
## 11:         1
## 12:        16
## 13:         1
## 14:         1
## 15:         1
## 16:         1

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda    pval shapesdda
##  1:      0.03125            0.000000e+00     0     0    <NA>         2
##  2:      0.09375            0.000000e+00     6    10    <NA>         2
##  3:      0.15625            0.000000e+00     6    26    <NA>         2
##  4:      0.21875           -7.144086e-02    11    30 0.12 :(         2
##  5:      0.28125            0.000000e+00     9    33    <NA>         2
##  6:      0.34375            0.000000e+00     9    34    <NA>         2
##  7:      0.40625            1.269952e-01    12    35 0.33 :(         2
##  8:      0.46875            1.725775e-05    17    34 0.85 :(         2
##  9:      0.53125           -4.756806e-02    15    36  0.6 :(         2
## 10:      0.59375            1.013346e-02    13    36 0.85 :(         2
## 11:      0.65625            7.367097e-02    18    34 0.27 :(         2
## 12:      0.71875            7.142964e-02    15    31 0.43 :(         2
## 13:      0.78125            1.428157e-01    17    26 0.12 :(         2
## 14:      0.84375            4.500638e-05    19    20 0.99 :(         2
## 15:      0.90625            0.000000e+00    19     9    <NA>         2
## 16:      0.96875            0.000000e+00    18     3    <NA>         2
##     shapesrnd
##  1:         1
##  2:         1
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:         1
##  9:         1
## 10:         1
## 11:         1
## 12:         1
## 13:         1
## 14:         1
## 15:         1
## 16:         1

## Warning: Removed 7 rows containing missing values (geom_point).

## Warning: Removed 7 rows containing missing values (geom_point).

## Warning: Removed 7 rows containing missing values (geom_point).

## Warning: Removed 7 rows containing missing values (geom_point).

## Warning: Removed 7 rows containing missing values (geom_point).

## Warning: Removed 7 rows containing missing values (geom_point).

## Warning: Removed 7 rows containing missing values (geom_point).

## Warning: Removed 7 rows containing missing values (geom_point).

Motor task

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda        pval shapesdda
##  1:      0.03125            0.000000e+00     0     0        <NA>         2
##  2:      0.09375            0.000000e+00    10     2        <NA>         2
##  3:      0.15625           -2.121548e-05    29    10     0.69 :(         2
##  4:      0.21875           -7.865976e-07    41    25     0.83 :(         2
##  5:      0.28125           -3.563404e-02    47    57     0.23 :(         2
##  6:      0.34375            1.274546e-05    48    68     0.59 :(         2
##  7:      0.40625            4.766385e-02    50    71     0.23 :(         2
##  8:      0.46875            1.071789e-01    52    72     0.034 *        17
##  9:      0.53125            1.428932e-01    52    73   0.0019 **        17
## 10:      0.59375            2.142801e-01    51    70 0.00018 ***        17
## 11:      0.65625            1.904606e-01    54    54   0.0029 **        17
## 12:      0.71875            2.860285e-01    54    32 0.00042 ***        17
## 13:      0.78125            3.333623e-01    45    10   0.0038 **        17
## 14:      0.84375            0.000000e+00    30     3        <NA>         2
## 15:      0.90625            0.000000e+00    15     0        <NA>         2
## 16:      0.96875            0.000000e+00     6     0        <NA>         2
##     shapesrnd
##  1:         1
##  2:         1
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:        16
##  9:        16
## 10:        16
## 11:        16
## 12:        16
## 13:        16
## 14:         1
## 15:         1
## 16:         1

## Warning: Removed 5 rows containing missing values (geom_point).

## Warning: Removed 5 rows containing missing values (geom_point).

## Warning: Removed 5 rows containing missing values (geom_point).

## Warning: Removed 5 rows containing missing values (geom_point).

## Warning: Removed 5 rows containing missing values (geom_point).

## Warning: Removed 5 rows containing missing values (geom_point).

## Warning: Removed 5 rows containing missing values (geom_point).

## Warning: Removed 5 rows containing missing values (geom_point).

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda    pval shapesdda
##  1:      0.03125            0.000000e+00     0     0    <NA>         2
##  2:      0.09375            0.000000e+00    10     2    <NA>         2
##  3:      0.15625            0.000000e+00    25     9    <NA>         2
##  4:      0.21875           -5.119168e-05    25    15 0.49 :(         2
##  5:      0.28125           -1.428304e-01    24    21 0.056 .         2
##  6:      0.34375            7.140821e-02    24    20 0.56 :(         2
##  7:      0.40625            7.144466e-02    24    21 0.35 :(         2
##  8:      0.46875            1.428306e-01    24    21 0.12 :(         2
##  9:      0.53125            1.785597e-01    22    20 0.044 *        17
## 10:      0.59375            2.143152e-01    24    18 0.033 *        17
## 11:      0.65625            2.933598e-01    22    14  0.06 .         2
## 12:      0.71875            0.000000e+00    22     8    <NA>         2
## 13:      0.78125            0.000000e+00    13     1    <NA>         2
## 14:      0.84375            0.000000e+00     0     0    <NA>         2
## 15:      0.90625            0.000000e+00     0     0    <NA>         2
## 16:      0.96875            0.000000e+00     0     0    <NA>         2
##     shapesrnd
##  1:         1
##  2:         1
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:         1
##  9:        16
## 10:        16
## 11:         1
## 12:         1
## 13:         1
## 14:         1
## 15:         1
## 16:         1

## Warning: Removed 8 rows containing missing values (geom_point).

## Warning: Removed 8 rows containing missing values (geom_point).

## Warning: Removed 8 rows containing missing values (geom_point).

## Warning: Removed 8 rows containing missing values (geom_point).

## Warning: Removed 8 rows containing missing values (geom_point).

## Warning: Removed 8 rows containing missing values (geom_point).

## Warning: Removed 8 rows containing missing values (geom_point).

## Warning: Removed 8 rows containing missing values (geom_point).

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda      pval shapesdda
##  1:      0.03125            0.000000e+00     0     0      <NA>         2
##  2:      0.09375            0.000000e+00     0     0      <NA>         2
##  3:      0.15625            0.000000e+00     4     1      <NA>         2
##  4:      0.21875            1.478032e-05    16    10   0.69 :(         2
##  5:      0.28125           -1.432985e-05    23    36    0.9 :(         2
##  6:      0.34375           -7.987186e-06    23    44   0.75 :(         2
##  7:      0.40625            3.516454e-05    24    45   0.78 :(         2
##  8:      0.46875            7.135856e-02    24    45   0.26 :(         2
##  9:      0.53125            1.904293e-01    24    45 0.0014 **        17
## 10:      0.59375            2.142860e-01    21    43 0.0023 **        17
## 11:      0.65625            2.380625e-01    24    31   0.015 *        17
## 12:      0.71875            3.808929e-01    25    17 7e-04 ***        17
## 13:      0.78125            0.000000e+00    24     5      <NA>         2
## 14:      0.84375            0.000000e+00    22     1      <NA>         2
## 15:      0.90625            0.000000e+00     7     0      <NA>         2
## 16:      0.96875            0.000000e+00     0     0      <NA>         2
##     shapesrnd
##  1:         1
##  2:         1
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:         1
##  9:        16
## 10:        16
## 11:        16
## 12:        16
## 13:         1
## 14:         1
## 15:         1
## 16:         1

## Warning: Removed 7 rows containing missing values (geom_point).

## Warning: Removed 7 rows containing missing values (geom_point).

## Warning: Removed 7 rows containing missing values (geom_point).

## Warning: Removed 7 rows containing missing values (geom_point).

## Warning: Removed 7 rows containing missing values (geom_point).

## Warning: Removed 7 rows containing missing values (geom_point).

## Warning: Removed 7 rows containing missing values (geom_point).

## Warning: Removed 7 rows containing missing values (geom_point).

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda pval shapesdda
##  1:      0.03125                       0     0     0   NA         2
##  2:      0.09375                       0     0     0   NA         2
##  3:      0.15625                       0     0     0   NA         2
##  4:      0.21875                       0     0     0   NA         2
##  5:      0.28125                       0     0     0   NA         2
##  6:      0.34375                       0     1     4   NA         2
##  7:      0.40625                       0     2     5   NA         2
##  8:      0.46875                       0     4     6   NA         2
##  9:      0.53125                       0     6     8   NA         2
## 10:      0.59375                       0     6     9   NA         2
## 11:      0.65625                       0     8     9   NA         2
## 12:      0.71875                       0     7     7   NA         2
## 13:      0.78125                       0     8     4   NA         2
## 14:      0.84375                       0     8     2   NA         2
## 15:      0.90625                       0     8     0   NA         2
## 16:      0.96875                       0     6     0   NA         2
##     shapesrnd
##  1:         1
##  2:         1
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:         1
##  9:         1
## 10:         1
## 11:         1
## 12:         1
## 13:         1
## 14:         1
## 15:         1
## 16:         1

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

Sensory task

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning: cannot compute confidence interval when all observations are zero
## or tied

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda    pval shapesdda
##  1:      0.03125            0.000000e+00    41    14  0.08 .         2
##  2:      0.09375            6.667905e-06    51    49 0.085 .         2
##  3:      0.15625            1.235846e-06    55    57 0.71 :(         2
##  4:      0.21875            7.405090e-05    43    49 0.36 :(         2
##  5:      0.28125           -3.594175e-05    43    47 0.18 :(         2
##  6:      0.34375           -5.843554e-05    35    41 0.68 :(         2
##  7:      0.40625           -4.398632e-02    41    38 0.47 :(         2
##  8:      0.46875            4.764294e-02    37    41 0.46 :(         2
##  9:      0.53125            2.546363e-05    29    45 0.73 :(         2
## 10:      0.59375           -8.595880e-02    35    36 0.17 :(         2
## 11:      0.65625           -4.087463e-02    35    38 0.51 :(         2
## 12:      0.71875           -2.817461e-06    36    45 0.31 :(         2
## 13:      0.78125           -3.712257e-05    43    32 0.41 :(         2
## 14:      0.84375           -1.418242e-05    43    40 0.33 :(         2
## 15:      0.90625           -5.631508e-05    51    28 0.53 :(         2
## 16:      0.96875            0.000000e+00    58     5    <NA>         2
##     shapesrnd
##  1:         1
##  2:         1
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:         1
##  9:         1
## 10:         1
## 11:         1
## 12:         1
## 13:         1
## 14:         1
## 15:         1
## 16:         1

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 1 rows containing missing values (geom_point).

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda pval shapesdda
##  1:      0.03125                       0    29     6   NA         2
##  2:      0.09375                       0    28     6   NA         2
##  3:      0.15625                       0    27     4   NA         2
##  4:      0.21875                       0    18     4   NA         2
##  5:      0.28125                       0    21     3   NA         2
##  6:      0.34375                       0    17     3   NA         2
##  7:      0.40625                       0    21     5   NA         2
##  8:      0.46875                       0    20     3   NA         2
##  9:      0.53125                       0    13     3   NA         2
## 10:      0.59375                       0    20     5   NA         2
## 11:      0.65625                       0    19     3   NA         2
## 12:      0.71875                       0    17     1   NA         2
## 13:      0.78125                       0    22     5   NA         2
## 14:      0.84375                       0    21     3   NA         2
## 15:      0.90625                       0    25     4   NA         2
## 16:      0.96875                       0    29     1   NA         2
##     shapesrnd
##  1:         1
##  2:         1
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:         1
##  9:         1
## 10:         1
## 11:         1
## 12:         1
## 13:         1
## 14:         1
## 15:         1
## 16:         1

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda    pval shapesdda
##  1:      0.03125            0.000000e+00    12     8    <NA>         2
##  2:      0.09375            3.152050e-05    19    33 0.034 *        17
##  3:      0.15625            3.438347e-05    23    31  0.9 :(         2
##  4:      0.21875            8.818065e-05    19    21 0.26 :(         2
##  5:      0.28125           -4.284667e-02    18    23 0.071 .         2
##  6:      0.34375           -1.592106e-02    14    18  0.6 :(         2
##  7:      0.40625            9.445233e-06    17    13 0.98 :(         2
##  8:      0.46875            2.856914e-01    14    21 0.019 *        17
##  9:      0.53125            1.939099e-02    12    21 0.78 :(         2
## 10:      0.59375            2.045142e-02    13    13 0.82 :(         2
## 11:      0.65625            1.618905e-05    11    20 0.92 :(         2
## 12:      0.71875            4.757957e-02    16    24  0.5 :(         2
## 13:      0.78125            4.740244e-05    17    11    1 :(         2
## 14:      0.84375            3.319616e-05    18    23  0.9 :(         2
## 15:      0.90625           -4.531915e-05    21    15 0.89 :(         2
## 16:      0.96875            0.000000e+00    23     1    <NA>         2
##     shapesrnd
##  1:         1
##  2:        16
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:        16
##  9:         1
## 10:         1
## 11:         1
## 12:         1
## 13:         1
## 14:         1
## 15:         1
## 16:         1

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_point).

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda pval shapesdda
##  1:      0.03125                       0     0     0   NA         2
##  2:      0.09375                       0     4    10   NA         2
##  3:      0.15625                       0     5    22   NA         2
##  4:      0.21875                       0     6    24   NA         2
##  5:      0.28125                       0     4    21   NA         2
##  6:      0.34375                       0     4    20   NA         2
##  7:      0.40625                       0     3    20   NA         2
##  8:      0.46875                       0     3    17   NA         2
##  9:      0.53125                       0     4    21   NA         2
## 10:      0.59375                       0     2    18   NA         2
## 11:      0.65625                       0     5    15   NA         2
## 12:      0.71875                       0     3    20   NA         2
## 13:      0.78125                       0     4    16   NA         2
## 14:      0.84375                       0     4    14   NA         2
## 15:      0.90625                       0     5     9   NA         2
## 16:      0.96875                       0     6     3   NA         2
##     shapesrnd
##  1:         1
##  2:         1
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:         1
##  9:         1
## 10:         1
## 11:         1
## 12:         1
## 13:         1
## 14:         1
## 15:         1
## 16:         1

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

## Warning: Removed 16 rows containing missing values (geom_point).

Logical task

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda        pval shapesdda
##  1:      0.03125            1.116119e-05    36    24     0.32 :(         2
##  2:      0.09375            4.947457e-05    44    42     0.81 :(         2
##  3:      0.15625            1.477611e-02    46    56     0.16 :(         2
##  4:      0.21875            7.137753e-02    45    64     0.18 :(         2
##  5:      0.28125            4.990787e-05    42    67     0.52 :(         2
##  6:      0.34375           -1.435614e-02    42    71     0.54 :(         2
##  7:      0.40625            3.566155e-02    45    72     0.42 :(         2
##  8:      0.46875            1.427604e-01    45    73     0.029 *        17
##  9:      0.53125            9.992427e-02    41    71     0.093 .         2
## 10:      0.59375            1.428055e-01    46    69     0.014 *        17
## 11:      0.65625            1.428858e-01    40    64     0.017 *        17
## 12:      0.71875            1.190408e-01    40    57     0.047 *        17
## 13:      0.78125            1.428454e-01    49    35     0.062 .         2
## 14:      0.84375            2.856841e-01    48    20 0.00069 ***        17
## 15:      0.90625            0.000000e+00    42     4        <NA>         2
## 16:      0.96875            0.000000e+00    27     0        <NA>         2
##     shapesrnd
##  1:         1
##  2:         1
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:        16
##  9:         1
## 10:        16
## 11:        16
## 12:        16
## 13:         1
## 14:        16
## 15:         1
## 16:         1

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning: Removed 2 rows containing missing values (geom_point).

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda    pval shapesdda
##  1:      0.03125            1.082602e-05    28    21 0.63 :(         2
##  2:      0.09375            6.822003e-05    28    25 0.98 :(         2
##  3:      0.15625           -2.911106e-05    27    24 0.97 :(         2
##  4:      0.21875            8.571696e-02    24    25 0.24 :(         2
##  5:      0.28125           -2.500450e-05    22    24 0.78 :(         2
##  6:      0.34375            6.373745e-05    21    25 0.83 :(         2
##  7:      0.40625            1.071902e-01    22    25  0.3 :(         2
##  8:      0.46875            1.706748e-01    20    25 0.14 :(         2
##  9:      0.53125            1.428459e-01    23    24 0.13 :(         2
## 10:      0.59375            1.904881e-01    24    24 0.012 *        17
## 11:      0.65625            4.029120e-05    16    21 0.64 :(         2
## 12:      0.71875            7.146692e-02    19    21 0.31 :(         2
## 13:      0.78125            1.428428e-01    23    12 0.24 :(         2
## 14:      0.84375            0.000000e+00    21     5    <NA>         2
## 15:      0.90625            0.000000e+00    13     1    <NA>         2
## 16:      0.96875            0.000000e+00     0     0    <NA>         2
##     shapesrnd
##  1:         1
##  2:         1
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:         1
##  9:         1
## 10:        16
## 11:         1
## 12:         1
## 13:         1
## 14:         1
## 15:         1
## 16:         1

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda    pval shapesdda
##  1:      0.03125            0.000000e+00     8     3    <NA>         2
##  2:      0.09375            9.934239e-06    14    15 0.38 :(         2
##  3:      0.15625            1.428424e-01    18    22 0.19 :(         2
##  4:      0.21875            1.904217e-01    16    23 0.087 .         2
##  5:      0.28125            7.138906e-02    15    21 0.47 :(         2
##  6:      0.34375           -1.428877e-01    15    22 0.16 :(         2
##  7:      0.40625           -7.139764e-02    15    22 0.44 :(         2
##  8:      0.46875            1.427822e-01    15    23 0.19 :(         2
##  9:      0.53125            7.149151e-02    11    22 0.39 :(         2
## 10:      0.59375            7.148312e-02    13    21 0.33 :(         2
## 11:      0.65625            1.189913e-01    14    20 0.28 :(         2
## 12:      0.71875            4.488398e-05    14    19 0.72 :(         2
## 13:      0.78125           -5.328508e-05    17    11 0.77 :(         2
## 14:      0.84375            1.429316e-01    16    10 0.14 :(         2
## 15:      0.90625            0.000000e+00    17     3    <NA>         2
## 16:      0.96875            0.000000e+00    15     0    <NA>         2
##     shapesrnd
##  1:         1
##  2:         1
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:         1
##  9:         1
## 10:         1
## 11:         1
## 12:         1
## 13:         1
## 14:         1
## 15:         1
## 16:         1

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning: Removed 3 rows containing missing values (geom_point).

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): requested conf.level not achievable

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.rnd, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact p-value with ties

## Warning in wilcox.test.default(subj.diff.dda, mu = obj.diff.bin.cur,
## conf.int = T): cannot compute exact confidence interval with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact p-value with ties

## Warning in wilcox.test.default(x = subj.diff.rnd, y = subj.diff.dda,
## conf.int = T, : cannot compute exact confidence intervals with ties

##     obj.diff.bin subj.diff.delta.rnd.dda n.rnd n.dda    pval shapesdda
##  1:      0.03125               0.0000000     0     0    <NA>         2
##  2:      0.09375               0.0000000     2     2    <NA>         2
##  3:      0.15625               0.0000000     1    10    <NA>         2
##  4:      0.21875               0.0000000     5    16    <NA>         2
##  5:      0.28125               0.0000000     5    22    <NA>         2
##  6:      0.34375               0.0000000     6    24    <NA>         2
##  7:      0.40625               0.0000000     8    25    <NA>         2
##  8:      0.46875               0.0356804    10    25 0.52 :(         2
##  9:      0.53125               0.0000000     7    25    <NA>         2
## 10:      0.59375               0.0000000     9    24    <NA>         2
## 11:      0.65625               0.3142864    10    23 0.014 *        17
## 12:      0.71875               0.0000000     7    17    <NA>         2
## 13:      0.78125               0.0000000     9    12    <NA>         2
## 14:      0.84375               0.0000000    11     5    <NA>         2
## 15:      0.90625               0.0000000    12     0    <NA>         2
## 16:      0.96875               0.0000000    12     0    <NA>         2
##     shapesrnd
##  1:         1
##  2:         1
##  3:         1
##  4:         1
##  5:         1
##  6:         1
##  7:         1
##  8:         1
##  9:         1
## 10:         1
## 11:        16
## 12:         1
## 13:         1
## 14:         1
## 15:         1
## 16:         1

## Warning: Removed 14 rows containing missing values (geom_point).

## Warning: Removed 14 rows containing missing values (geom_point).

## Warning: Removed 14 rows containing missing values (geom_point).

## Warning: Removed 14 rows containing missing values (geom_point).

## Warning: Removed 14 rows containing missing values (geom_point).

## Warning: Removed 14 rows containing missing values (geom_point).

## Warning: Removed 14 rows containing missing values (geom_point).

## Warning: Removed 14 rows containing missing values (geom_point).

Influence of Playtime on Subjective Difficulty Error

For all groups, motor, sensitive and logical

## Warning: Removed 2250 rows containing non-finite values (stat_bin2d).

## Warning: Removed 2130 rows containing non-finite values (stat_bin2d).

## Warning: Removed 2190 rows containing non-finite values (stat_bin2d).

## 
## Call:
## glm(formula = error.subj.diff.confiance ~ timeNorm + obj.diff, 
##     data = DTL)
## 
## Deviance Residuals: 
##      Min        1Q    Median        3Q       Max  
## -0.71075  -0.18563  -0.01451   0.18284   0.69433  
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.24678    0.01829  13.494   <2e-16 ***
## timeNorm     0.03651    0.02288   1.596    0.111    
## obj.diff    -0.56348    0.01979 -28.473   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for gaussian family taken to be 0.06547014)
## 
##     Null deviance: 166.94  on 1681  degrees of freedom
## Residual deviance: 109.92  on 1679  degrees of freedom
##   (2190 observations deleted due to missingness)
## AIC: 192.9
## 
## Number of Fisher Scoring iterations: 2

##     time.bin subj.diff.mean obj.diff.mean    error.diff   n    pval
##  1:      1.5             NA     0.4846008 -0.0517106823 341 0.047 *
##  2:      4.5             NA     0.5016366 -0.0254916524 399  0.2 :(
##  3:      7.5             NA     0.4935182 -0.0207304336 399 0.31 :(
##  4:     10.5             NA     0.4930533  0.0108864648 399  0.6 :(
##  5:     13.5             NA     0.4845556 -0.0006790039 399 0.97 :(
##  6:     16.5             NA     0.4948118 -0.0020730693 399 0.92 :(
##  7:     19.5             NA     0.4988660 -0.0315381116 399 0.089 .
##  8:     22.5             NA     0.4850398 -0.0084541942 399 0.68 :(
##  9:     25.5             NA     0.4794978  0.0014518793 399 0.94 :(
## 10:     28.5             NA     0.4614618  0.0128314200 399 0.53 :(
##     time    error.diff shapes
##  1:  1.5 -0.0517106823     24
##  2:  4.5 -0.0254916524     16
##  3:  7.5 -0.0207304336     16
##  4: 10.5  0.0108864648     16
##  5: 13.5 -0.0006790039     16
##  6: 16.5 -0.0020730693     16
##  7: 19.5 -0.0315381116     16
##  8: 22.5 -0.0084541942     16
##  9: 25.5  0.0014518793     16
## 10: 28.5  0.0128314200     16

##     time.bin subj.diff.mean obj.diff.mean error.diff  n        pval
##  1:      1.5             NA     0.2460763 0.12626600 80     0.083 .
##  2:      4.5             NA     0.2574841 0.13877711 75   0.0035 **
##  3:      7.5             NA     0.2616496 0.07793027 80     0.012 *
##  4:     10.5             NA     0.2638154 0.07065739 79     0.036 *
##  5:     13.5             NA     0.2534744 0.06337059 72     0.027 *
##  6:     16.5             NA     0.2558974 0.06415814 71     0.094 .
##  7:     19.5             NA     0.2527287 0.02108215 92     0.46 :(
##  8:     22.5             NA     0.2423891 0.07629647 82     0.024 *
##  9:     25.5             NA     0.2428101 0.12609763 78 0.00074 ***
## 10:     28.5             NA     0.2341303 0.08538048 83   0.0016 **
##     time error.diff shapes
##  1:  1.5 0.12626600     16
##  2:  4.5 0.13877711     24
##  3:  7.5 0.07793027     24
##  4: 10.5 0.07065739     24
##  5: 13.5 0.06337059     24
##  6: 16.5 0.06415814     16
##  7: 19.5 0.02108215     16
##  8: 22.5 0.07629647     24
##  9: 25.5 0.12609763     24
## 10: 28.5 0.08538048     24

## Warning: Removed 3 rows containing missing values (geom_errorbar).

##     time.bin subj.diff.mean obj.diff.mean  error.diff   n    pval
##  1:      1.5             NA     0.4800852  0.02913310 196 0.43 :(
##  2:      4.5             NA     0.4889067 -0.03827602 247 0.15 :(
##  3:      7.5             NA     0.4839653 -0.02228174 243 0.35 :(
##  4:     10.5             NA     0.4892095  0.06012798 258 0.035 *
##  5:     13.5             NA     0.4753897  0.04230294 266 0.17 :(
##  6:     16.5             NA     0.4919752  0.05179586 263 0.094 .
##  7:     19.5             NA     0.5035411 -0.01755779 220 0.55 :(
##  8:     22.5             NA     0.4854617  0.02453690 246 0.42 :(
##  9:     25.5             NA     0.4922066 -0.01626118 272 0.46 :(
## 10:     28.5             NA     0.4812105  0.04302506 274 0.11 :(
##     time  error.diff shapes
##  1:  1.5  0.02913310     16
##  2:  4.5 -0.03827602     16
##  3:  7.5 -0.02228174     16
##  4: 10.5  0.06012798     24
##  5: 13.5  0.04230294     16
##  6: 16.5  0.05179586     16
##  7: 19.5 -0.01755779     16
##  8: 22.5  0.02453690     16
##  9: 25.5 -0.01626118     16
## 10: 28.5  0.04302506     16

##     time.bin subj.diff.mean obj.diff.mean  error.diff  n        pval
##  1:      1.5             NA     0.7917857 -0.17795412 65 9.9e-06 ***
##  2:      4.5             NA     0.7802824 -0.09737777 77   0.0044 **
##  3:      7.5             NA     0.7681345 -0.09207258 76   0.0063 **
##  4:     10.5             NA     0.8011419 -0.12872659 62   0.0023 **
##  5:     13.5             NA     0.7972764 -0.12361968 61   9e-04 ***
##  6:     16.5             NA     0.7672571 -0.11422710 65 0.00093 ***
##  7:     19.5             NA     0.7473272 -0.07507418 87   0.0019 **
##  8:     22.5             NA     0.7638227 -0.12706168 71   4e-04 ***
##  9:     25.5             NA     0.7857194 -0.11742497 49   0.0047 **
## 10:     28.5             NA     0.7818754 -0.16217395 42 7.9e-06 ***
##     time  error.diff shapes
##  1:  1.5 -0.17795412     24
##  2:  4.5 -0.09737777     24
##  3:  7.5 -0.09207258     24
##  4: 10.5 -0.12872659     24
##  5: 13.5 -0.12361968     24
##  6: 16.5 -0.11422710     24
##  7: 19.5 -0.07507418     24
##  8: 22.5 -0.12706168     24
##  9: 25.5 -0.11742497     24
## 10: 28.5 -0.16217395     24

##     time.bin subj.diff.mean obj.diff.mean  error.diff   n        pval
##  1:      1.5             NA     0.3542344 -0.14851789 329 4.6e-06 ***
##  2:      4.5             NA     0.5079805 -0.10639282 387   9e-08 ***
##  3:      7.5             NA     0.5067374 -0.07765158 387 0.00042 ***
##  4:     10.5             NA     0.5326660 -0.09128342 387 2.4e-05 ***
##  5:     13.5             NA     0.5145259 -0.10260870 387 2.6e-07 ***
##  6:     16.5             NA     0.5074951 -0.13019018 387 1.1e-07 ***
##  7:     19.5             NA     0.5172756 -0.08664295 387 8.8e-06 ***
##  8:     22.5             NA     0.5381975 -0.07751366 387 0.00011 ***
##  9:     25.5             NA     0.5288055 -0.04715848 387     0.011 *
## 10:     28.5             NA     0.5290088 -0.08813590 387 0.00011 ***
##     time  error.diff shapes
##  1:  1.5 -0.14851789     24
##  2:  4.5 -0.10639282     24
##  3:  7.5 -0.07765158     24
##  4: 10.5 -0.09128342     24
##  5: 13.5 -0.10260870     24
##  6: 16.5 -0.13019018     24
##  7: 19.5 -0.08664295     24
##  8: 22.5 -0.07751366     24
##  9: 25.5 -0.04715848     24
## 10: 28.5 -0.08813590     24

##     time.bin subj.diff.mean obj.diff.mean  error.diff   n      pval
##  1:      1.5             NA     0.1563225  0.08102814 203   0.14 :(
##  2:      4.5             NA     0.1806091  0.08875684 132   0.091 .
##  3:      7.5             NA     0.1840901  0.09194192 119   0.046 *
##  4:     10.5             NA     0.1885498  0.07028171 106   0.19 :(
##  5:     13.5             NA     0.1956975  0.03724424 115   0.52 :(
##  6:     16.5             NA     0.1916882 -0.01712182 125   0.82 :(
##  7:     19.5             NA     0.1670746  0.02368606 152   0.65 :(
##  8:     22.5             NA     0.1879970  0.11418216 103   0.014 *
##  9:     25.5             NA     0.1956246  0.12897188 117 0.0072 **
## 10:     28.5             NA     0.1828724  0.12271246 115 0.0078 **
##     time  error.diff shapes
##  1:  1.5  0.08102814     16
##  2:  4.5  0.08875684     16
##  3:  7.5  0.09194192     24
##  4: 10.5  0.07028171     16
##  5: 13.5  0.03724424     16
##  6: 16.5 -0.01712182     16
##  7: 19.5  0.02368606     16
##  8: 22.5  0.11418216     24
##  9: 25.5  0.12897188     24
## 10: 28.5  0.12271246     24

##     time.bin subj.diff.mean obj.diff.mean  error.diff   n    pval
##  1:      1.5             NA     0.4504127 -0.18061293  64 0.035 *
##  2:      4.5             NA     0.4886875 -0.04192102 134 0.41 :(
##  3:      7.5             NA     0.4880944 -0.08487659 146 0.19 :(
##  4:     10.5             NA     0.4984887 -0.05702008 158 0.35 :(
##  5:     13.5             NA     0.4757979 -0.13818634 149 0.021 *
##  6:     16.5             NA     0.4965337 -0.16633461 143 0.029 *
##  7:     19.5             NA     0.5125083 -0.06771721  86 0.26 :(
##  8:     22.5             NA     0.5012920 -0.10615492 157 0.062 .
##  9:     25.5             NA     0.4936000 -0.07216088 141 0.24 :(
## 10:     28.5             NA     0.4981864 -0.17537573 142 0.016 *
##     time  error.diff shapes
##  1:  1.5 -0.18061293     24
##  2:  4.5 -0.04192102     16
##  3:  7.5 -0.08487659     16
##  4: 10.5 -0.05702008     16
##  5: 13.5 -0.13818634     24
##  6: 16.5 -0.16633461     24
##  7: 19.5 -0.06771721     16
##  8: 22.5 -0.10615492     16
##  9: 25.5 -0.07216088     16
## 10: 28.5 -0.17537573     24

##     time.bin subj.diff.mean obj.diff.mean error.diff   n        pval
##  1:      1.5             NA     0.9029557 -0.2451791  62 1.7e-08 ***
##  2:      4.5             NA     0.8864788 -0.2378343 121 1.7e-12 ***
##  3:      7.5             NA     0.8437611 -0.2100238 122   7e-08 ***
##  4:     10.5             NA     0.8731240 -0.1977814 123 1.8e-08 ***
##  5:     13.5             NA     0.8595320 -0.2015895 123 4.5e-08 ***
##  6:     16.5             NA     0.8523972 -0.2272430 119 5.3e-09 ***
##  7:     19.5             NA     0.8772792 -0.2095092 149 5.4e-08 ***
##  8:     22.5             NA     0.8678418 -0.2014466 127   1e-07 ***
##  9:     25.5             NA     0.8694734 -0.1661714 129 1.7e-05 ***
## 10:     28.5             NA     0.8688738 -0.1995651 130 7.3e-09 ***
##     time error.diff shapes
##  1:  1.5 -0.2451791     24
##  2:  4.5 -0.2378343     24
##  3:  7.5 -0.2100238     24
##  4: 10.5 -0.1977814     24
##  5: 13.5 -0.2015895     24
##  6: 16.5 -0.2272430     24
##  7: 19.5 -0.2095092     24
##  8: 22.5 -0.2014466     24
##  9: 25.5 -0.1661714     24
## 10: 28.5 -0.1995651     24

##     time.bin subj.diff.mean obj.diff.mean   error.diff   n        pval
##  1:      1.5             NA     0.3773352 -0.135157838 335 5.5e-05 ***
##  2:      4.5             NA     0.4646490 -0.124831634 393 4.8e-06 ***
##  3:      7.5             NA     0.4728532 -0.041486317 393     0.097 .
##  4:     10.5             NA     0.4773069 -0.001425130 393     0.94 :(
##  5:     13.5             NA     0.4812718 -0.007614343 393     0.76 :(
##  6:     16.5             NA     0.4894372 -0.004489744 393     0.86 :(
##  7:     19.5             NA     0.4682497 -0.005189205 393     0.81 :(
##  8:     22.5             NA     0.4269222 -0.011921865 393     0.63 :(
##  9:     25.5             NA     0.4247965  0.053074026 393     0.042 *
## 10:     28.5             NA     0.4199120  0.048394091 393      0.05 .
##     time   error.diff shapes
##  1:  1.5 -0.135157838     24
##  2:  4.5 -0.124831634     24
##  3:  7.5 -0.041486317     16
##  4: 10.5 -0.001425130     16
##  5: 13.5 -0.007614343     16
##  6: 16.5 -0.004489744     16
##  7: 19.5 -0.005189205     16
##  8: 22.5 -0.011921865     16
##  9: 25.5  0.053074026     24
## 10: 28.5  0.048394091     16

##     time.bin subj.diff.mean obj.diff.mean error.diff   n        pval
##  1:      1.5             NA     0.1450636  0.1288808 179   0.0067 **
##  2:      4.5             NA     0.1805775  0.1732589 153   0.0036 **
##  3:      7.5             NA     0.1891676  0.1664956 134   2e-05 ***
##  4:     10.5             NA     0.1972231  0.1819013 122 1.5e-06 ***
##  5:     13.5             NA     0.2008620  0.2049132 107 6.9e-07 ***
##  6:     16.5             NA     0.1894984  0.1668593  98 5.2e-06 ***
##  7:     19.5             NA     0.1713137  0.1406167 158   0.0013 **
##  8:     22.5             NA     0.1818654  0.1386043 148 0.00063 ***
##  9:     25.5             NA     0.1813260  0.1883551 148 3.4e-07 ***
## 10:     28.5             NA     0.1829336  0.1878732 157 1.5e-06 ***
##     time error.diff shapes
##  1:  1.5  0.1288808     24
##  2:  4.5  0.1732589     24
##  3:  7.5  0.1664956     24
##  4: 10.5  0.1819013     24
##  5: 13.5  0.2049132     24
##  6: 16.5  0.1668593     24
##  7: 19.5  0.1406167     24
##  8: 22.5  0.1386043     24
##  9: 25.5  0.1883551     24
## 10: 28.5  0.1878732     24

## Warning: Removed 1 rows containing missing values (geom_point).

## Warning: Removed 8 rows containing missing values (geom_errorbar).

##     time.bin subj.diff.mean obj.diff.mean   error.diff   n    pval
##  1:      1.5             NA     0.4951270 -0.109634090  87 0.075 .
##  2:      4.5             NA     0.4934813  0.032927305 143 0.35 :(
##  3:      7.5             NA     0.4898250  0.055610737 158 0.18 :(
##  4:     10.5             NA     0.4916037  0.049893404 180 0.24 :(
##  5:     13.5             NA     0.4903741  0.024760347 203 0.59 :(
##  6:     16.5             NA     0.4911873  0.040437336 211 0.24 :(
##  7:     19.5             NA     0.4982593  0.054380551 110 0.13 :(
##  8:     22.5             NA     0.4872394  0.014588380 180 0.74 :(
##  9:     25.5             NA     0.4865867  0.071623978 178 0.041 *
## 10:     28.5             NA     0.4854882 -0.002681186 164  0.9 :(
##     time   error.diff shapes
##  1:  1.5 -0.109634090     16
##  2:  4.5  0.032927305     16
##  3:  7.5  0.055610737     16
##  4: 10.5  0.049893404     16
##  5: 13.5  0.024760347     16
##  6: 16.5  0.040437336     16
##  7: 19.5  0.054380551     16
##  8: 22.5  0.014588380     16
##  9: 25.5  0.071623978     24
## 10: 28.5 -0.002681186     16

##     time.bin subj.diff.mean obj.diff.mean error.diff   n        pval
##  1:      1.5             NA     0.8313749 -0.3201279  69 1.2e-08 ***
##  2:      4.5             NA     0.8702154 -0.3416390  97 4.1e-14 ***
##  3:      7.5             NA     0.8226785 -0.2525491 101 6.6e-11 ***
##  4:     10.5             NA     0.8245247 -0.2101424  91 1.3e-07 ***
##  5:     13.5             NA     0.8205015 -0.2242074  83   4e-08 ***
##  6:     16.5             NA     0.8349697 -0.2042798  84 9.7e-08 ***
##  7:     19.5             NA     0.8171682 -0.2199581 125 2.2e-07 ***
##  8:     22.5             NA     0.8178653 -0.2480988  65 1.4e-06 ***
##  9:     25.5             NA     0.7984530 -0.2378249  67 8.9e-07 ***
## 10:     28.5             NA     0.7872885 -0.1630257  72 4.6e-05 ***
##     time error.diff shapes
##  1:  1.5 -0.3201279     24
##  2:  4.5 -0.3416390     24
##  3:  7.5 -0.2525491     24
##  4: 10.5 -0.2101424     24
##  5: 13.5 -0.2242074     24
##  6: 16.5 -0.2042798     24
##  7: 19.5 -0.2199581     24
##  8: 22.5 -0.2480988     24
##  9: 25.5 -0.2378249     24
## 10: 28.5 -0.1630257     24

For all taks, per group

## Warning: Removed 1980 rows containing non-finite values (stat_bin2d).

## Warning: Removed 3030 rows containing non-finite values (stat_bin2d).

## Warning: Removed 1560 rows containing non-finite values (stat_bin2d).

##     time.bin subj.diff.mean obj.diff.mean  error.diff   n        pval
##  1:      1.5             NA     0.5101481 -0.27955461 250 1.4e-08 ***
##  2:      4.5             NA     0.5875793 -0.24023529 276   2e-08 ***
##  3:      7.5             NA     0.5931500 -0.19055935 276 3.8e-06 ***
##  4:     10.5             NA     0.5603301 -0.11682718 276   0.0019 **
##  5:     13.5             NA     0.5522578 -0.19699049 276 6.4e-06 ***
##  6:     16.5             NA     0.5496827 -0.16182554 276 3.3e-05 ***
##  7:     19.5             NA     0.5429907 -0.12128313 276 0.00019 ***
##  8:     22.5             NA     0.5383886 -0.14608780 276 0.00023 ***
##  9:     25.5             NA     0.5111876 -0.10381040 276   0.0097 **
## 10:     28.5             NA     0.5182271 -0.08165568 276     0.023 *
##     time  error.diff shapes
##  1:  1.5 -0.27955461     24
##  2:  4.5 -0.24023529     24
##  3:  7.5 -0.19055935     24
##  4: 10.5 -0.11682718     24
##  5: 13.5 -0.19699049     24
##  6: 16.5 -0.16182554     24
##  7: 19.5 -0.12128313     24
##  8: 22.5 -0.14608780     24
##  9: 25.5 -0.10381040     24
## 10: 28.5 -0.08165568     24

##     time.bin subj.diff.mean obj.diff.mean   error.diff   n    pval
##  1:      1.5             NA     0.4621338 -0.123329788 187 0.018 *
##  2:      4.5             NA     0.4816715  0.006643538 272 0.78 :(
##  3:      7.5             NA     0.4744169 -0.014294592 260  0.7 :(
##  4:     10.5             NA     0.4871492  0.037520732 261 0.24 :(
##  5:     13.5             NA     0.4754516 -0.003802189 283 0.87 :(
##  6:     16.5             NA     0.4864628  0.001565850 291 0.96 :(
##  7:     19.5             NA     0.5042084 -0.021671080 167 0.52 :(
##  8:     22.5             NA     0.4809617  0.016514974 251 0.52 :(
##  9:     25.5             NA     0.4939816 -0.013520783 257 0.64 :(
## 10:     28.5             NA     0.4731331 -0.004260163 257 0.83 :(
##     time   error.diff shapes
##  1:  1.5 -0.123329788     24
##  2:  4.5  0.006643538     16
##  3:  7.5 -0.014294592     16
##  4: 10.5  0.037520732     16
##  5: 13.5 -0.003802189     16
##  6: 16.5  0.001565850     16
##  7: 19.5 -0.021671080     16
##  8: 22.5  0.016514974     16
##  9: 25.5 -0.013520783     16
## 10: 28.5 -0.004260163     16

##     time.bin subj.diff.mean obj.diff.mean   error.diff   n     pval
##  1:      1.5             NA     0.3328102 -0.065212448 320 0.006 **
##  2:      4.5             NA     0.3851241 -0.024842768 402  0.17 :(
##  3:      7.5             NA     0.4121369 -0.023828815 402  0.18 :(
##  4:     10.5             NA     0.4467275 -0.006148391 402  0.71 :(
##  5:     13.5             NA     0.4379384 -0.001123164 402  0.95 :(
##  6:     16.5             NA     0.4447412 -0.005614717 402  0.77 :(
##  7:     19.5             NA     0.4433990 -0.003526611 402  0.84 :(
##  8:     22.5             NA     0.4313345 -0.015512708 402  0.32 :(
##  9:     25.5             NA     0.4383700  0.018833290 402  0.23 :(
## 10:     28.5             NA     0.4179901  0.015983568 402  0.39 :(
##     time   error.diff shapes
##  1:  1.5 -0.065212448     24
##  2:  4.5 -0.024842768     16
##  3:  7.5 -0.023828815     16
##  4: 10.5 -0.006148391     16
##  5: 13.5 -0.001123164     16
##  6: 16.5 -0.005614717     16
##  7: 19.5 -0.003526611     16
##  8: 22.5 -0.015512708     16
##  9: 25.5  0.018833290     16
## 10: 28.5  0.015983568     16

Per group, motor task

## Warning: Removed 270 rows containing non-finite values (stat_bin2d).

##     time.bin subj.diff.mean obj.diff.mean  error.diff  n      pval
##  1:      1.5             NA     0.7491059 -0.23339956 43  0.001 **
##  2:      4.5             NA     0.6921722 -0.17268944 51 0.0053 **
##  3:      7.5             NA     0.6665913 -0.13572135 51   0.014 *
##  4:     10.5             NA     0.6611491 -0.15948006 51 0.0065 **
##  5:     13.5             NA     0.6688649 -0.21028132 51 3e-05 ***
##  6:     16.5             NA     0.6444126 -0.15694628 51   0.021 *
##  7:     19.5             NA     0.6316084 -0.07802496 51   0.095 .
##  8:     22.5             NA     0.6369418 -0.13045347 51   0.034 *
##  9:     25.5             NA     0.6404955 -0.14050925 51 0.0053 **
## 10:     28.5             NA     0.6234634 -0.12004322 51   0.029 *
##     time  error.diff shapes
##  1:  1.5 -0.23339956     24
##  2:  4.5 -0.17268944     24
##  3:  7.5 -0.13572135     24
##  4: 10.5 -0.15948006     24
##  5: 13.5 -0.21028132     24
##  6: 16.5 -0.15694628     24
##  7: 19.5 -0.07802496     16
##  8: 22.5 -0.13045347     24
##  9: 25.5 -0.14050925     24
## 10: 28.5 -0.12004322     24

## Warning: Removed 1350 rows containing non-finite values (stat_bin2d).

##     time.bin subj.diff.mean obj.diff.mean  error.diff   n    pval
##  1:      1.5             NA     0.4694605 -0.07069814 148 0.35 :(
##  2:      4.5             NA     0.4894973 -0.04314886 165 0.33 :(
##  3:      7.5             NA     0.4739853 -0.04773173 150 0.24 :(
##  4:     10.5             NA     0.4790123  0.04488516 145 0.28 :(
##  5:     13.5             NA     0.4685210  0.02883517 159 0.46 :(
##  6:     16.5             NA     0.4869538  0.01261463 157 0.84 :(
##  7:     19.5             NA     0.4893260 -0.10337457 109 0.064 .
##  8:     22.5             NA     0.4641142 -0.03967266 132 0.46 :(
##  9:     25.5             NA     0.4777206 -0.04393622 143  0.3 :(
## 10:     28.5             NA     0.4669782  0.01355611 149 0.76 :(
##     time  error.diff shapes
##  1:  1.5 -0.07069814     16
##  2:  4.5 -0.04314886     16
##  3:  7.5 -0.04773173     16
##  4: 10.5  0.04488516     16
##  5: 13.5  0.02883517     16
##  6: 16.5  0.01261463     16
##  7: 19.5 -0.10337457     16
##  8: 22.5 -0.03967266     16
##  9: 25.5 -0.04393622     16
## 10: 28.5  0.01355611     16

## Warning: Removed 630 rows containing non-finite values (stat_bin2d).

##     time.bin subj.diff.mean obj.diff.mean  error.diff   n      pval
##  1:      1.5             NA     0.3651840 0.021808492 113   0.57 :(
##  2:      4.5             NA     0.3891802 0.043333835 138   0.13 :(
##  3:      7.5             NA     0.4233262 0.003489599 138   0.93 :(
##  4:     10.5             NA     0.4197621 0.086917284 138 0.0023 **
##  5:     13.5             NA     0.4046484 0.054486684 138   0.055 .
##  6:     16.5             NA     0.4233961 0.060290270 138   0.026 *
##  7:     19.5             NA     0.4617562 0.037445937 138   0.18 :(
##  8:     22.5             NA     0.4524752 0.057596038 138   0.037 *
##  9:     25.5             NA     0.4335185 0.050123631 138   0.045 *
## 10:     28.5             NA     0.3982501 0.079695466 138 0.0023 **
##     time  error.diff shapes
##  1:  1.5 0.021808492     16
##  2:  4.5 0.043333835     16
##  3:  7.5 0.003489599     16
##  4: 10.5 0.086917284     24
##  5: 13.5 0.054486684     16
##  6: 16.5 0.060290270     24
##  7: 19.5 0.037445937     16
##  8: 22.5 0.057596038     24
##  9: 25.5 0.050123631     24
## 10: 28.5 0.079695466     24

Per group, sensory task

## Warning: Removed 960 rows containing non-finite values (stat_bin2d).

##     time.bin subj.diff.mean obj.diff.mean error.diff   n      pval
##  1:      1.5             NA     0.3353384 -0.2522891 108   0.012 *
##  2:      4.5             NA     0.4987745 -0.2630045 114 0.0066 **
##  3:      7.5             NA     0.5305268 -0.2443958 114 0.0013 **
##  4:     10.5             NA     0.5023775 -0.1499801 114    0.09 .
##  5:     13.5             NA     0.4889544 -0.1859321 114   0.014 *
##  6:     16.5             NA     0.4937645 -0.2752132 114 0.0013 **
##  7:     19.5             NA     0.4911338 -0.2386233 114 0.0056 **
##  8:     22.5             NA     0.5293180 -0.1143618 114   0.25 :(
##  9:     25.5             NA     0.4801395 -0.1711875 114    0.09 .
## 10:     28.5             NA     0.5050119 -0.1480112 114   0.081 .
##     time error.diff shapes
##  1:  1.5 -0.2522891     24
##  2:  4.5 -0.2630045     24
##  3:  7.5 -0.2443958     24
##  4: 10.5 -0.1499801     16
##  5: 13.5 -0.1859321     24
##  6: 16.5 -0.2752132     24
##  7: 19.5 -0.2386233     24
##  8: 22.5 -0.1143618     16
##  9: 25.5 -0.1711875     16
## 10: 28.5 -0.1480112     16

## Warning: Removed 3 rows containing missing values (geom_errorbar).

## Warning: Removed 990 rows containing non-finite values (stat_bin2d).

##     time.bin subj.diff.mean obj.diff.mean  error.diff  n    pval
##  1:      1.5             NA     0.4084641 -0.13645670 20  0.5 :(
##  2:      4.5             NA     0.4859965  0.06927710 59 0.73 :(
##  3:      7.5             NA     0.4788291  0.03353972 64 0.59 :(
##  4:     10.5             NA     0.5052078 -0.06231015 71 0.49 :(
##  5:     13.5             NA     0.4743412 -0.08282582 65 0.41 :(
##  6:     16.5             NA     0.4829185 -0.08627386 64 0.49 :(
##  7:     19.5             NA     0.5477015  0.09043067 35 0.31 :(
##  8:     22.5             NA     0.4961262  0.12248927 68 0.058 .
##  9:     25.5             NA     0.5253924  0.02326862 60 0.82 :(
## 10:     28.5             NA     0.4776091 -0.14120894 57 0.81 :(
##     time  error.diff shapes
##  1:  1.5 -0.13645670     16
##  2:  4.5  0.06927710     16
##  3:  7.5  0.03353972     16
##  4: 10.5 -0.06231015     16
##  5: 13.5 -0.08282582     16
##  6: 16.5 -0.08627386     16
##  7: 19.5  0.09043067     16
##  8: 22.5  0.12248927     16
##  9: 25.5  0.02326862     16
## 10: 28.5 -0.14120894     16

## Warning: Removed 4 rows containing missing values (geom_errorbar).

## Warning: Removed 180 rows containing non-finite values (stat_bin2d).

##     time.bin subj.diff.mean obj.diff.mean  error.diff   n        pval
##  1:      1.5             NA     0.4498540 -0.14810255  76 0.00097 ***
##  2:      4.5             NA     0.4911187 -0.09908565 105 0.00053 ***
##  3:      7.5             NA     0.4760554 -0.08310401 105   0.0056 **
##  4:     10.5             NA     0.5479463 -0.09640468 105   0.0018 **
##  5:     13.5             NA     0.5024372 -0.08632395 105 0.00041 ***
##  6:     16.5             NA     0.5104236 -0.12462161 105   7e-05 ***
##  7:     19.5             NA     0.5139298 -0.07876914 105 0.00058 ***
##  8:     22.5             NA     0.5335163 -0.12658653 105 8.4e-05 ***
##  9:     25.5             NA     0.5606611 -0.04221514 105     0.034 *
## 10:     28.5             NA     0.5213959 -0.09617451 105   0.0016 **
##     time  error.diff shapes
##  1:  1.5 -0.14810255     24
##  2:  4.5 -0.09908565     24
##  3:  7.5 -0.08310401     24
##  4: 10.5 -0.09640468     24
##  5: 13.5 -0.08632395     24
##  6: 16.5 -0.12462161     24
##  7: 19.5 -0.07876914     24
##  8: 22.5 -0.12658653     24
##  9: 25.5 -0.04221514     24
## 10: 28.5 -0.09617451     24

Per group, logical task

## Warning: Removed 750 rows containing non-finite values (stat_bin2d).

##     time.bin subj.diff.mean obj.diff.mean  error.diff   n        pval
##  1:      1.5             NA     0.5970599 -0.32677708  99 1.7e-06 ***
##  2:      4.5             NA     0.6307280 -0.29120671 111 1.6e-05 ***
##  3:      7.5             NA     0.6237224 -0.18626760 111      0.01 *
##  4:     10.5             NA     0.5735269 -0.07496712 111     0.21 :(
##  5:     13.5             NA     0.5636960 -0.16949639 111     0.041 *
##  6:     16.5             NA     0.5635878 -0.11102858 111     0.088 .
##  7:     19.5             NA     0.5555330 -0.08912151 111     0.039 *
##  8:     22.5             NA     0.5024233 -0.17602336 111    0.006 **
##  9:     25.5             NA     0.4836629 -0.03572433 111     0.49 :(
## 10:     28.5             NA     0.4834477 -0.01751260 111     0.72 :(
##     time  error.diff shapes
##  1:  1.5 -0.32677708     24
##  2:  4.5 -0.29120671     24
##  3:  7.5 -0.18626760     24
##  4: 10.5 -0.07496712     16
##  5: 13.5 -0.16949639     24
##  6: 16.5 -0.11102858     16
##  7: 19.5 -0.08912151     24
##  8: 22.5 -0.17602336     24
##  9: 25.5 -0.03572433     16
## 10: 28.5 -0.01751260     16

## Warning: Removed 2 rows containing missing values (geom_errorbar).

## Warning: Removed 690 rows containing non-finite values (stat_bin2d).

##     time.bin subj.diff.mean obj.diff.mean   error.diff  n      pval
##  1:      1.5             NA     0.4615573 -0.185969827 19   0.014 *
##  2:      4.5             NA     0.4494542  0.074399987 48    0.2 :(
##  3:      7.5             NA     0.4696858  0.043146367 46   0.58 :(
##  4:     10.5             NA     0.4848759  0.095222163 45 0.0098 **
##  5:     13.5             NA     0.4953526 -0.017397772 59    0.5 :(
##  6:     16.5             NA     0.4886018  0.002975017 70    0.9 :(
##  7:     19.5             NA     0.5085528  0.041600432 23   0.54 :(
##  8:     22.5             NA     0.5043477  0.033043196 51   0.64 :(
##  9:     25.5             NA     0.5021422  0.036655993 54   0.24 :(
## 10:     28.5             NA     0.4861127 -0.020142393 51   0.58 :(
##     time   error.diff shapes
##  1:  1.5 -0.185969827     24
##  2:  4.5  0.074399987     16
##  3:  7.5  0.043146367     16
##  4: 10.5  0.095222163     24
##  5: 13.5 -0.017397772     16
##  6: 16.5  0.002975017     16
##  7: 19.5  0.041600432     16
##  8: 22.5  0.033043196     16
##  9: 25.5  0.036655993     16
## 10: 28.5 -0.020142393     16

## Warning: Removed 3 rows containing missing values (geom_errorbar).

## Warning: Removed 750 rows containing non-finite values (stat_bin2d).

##     time.bin subj.diff.mean obj.diff.mean   error.diff   n    pval
##  1:      1.5             NA     0.2369813 -0.077020192 131 0.14 :(
##  2:      4.5             NA     0.3116072 -0.005671028 159 0.86 :(
##  3:      7.5             NA     0.3602150  0.011977466 159 0.73 :(
##  4:     10.5             NA     0.4032887  0.001215855 159 0.97 :(
##  5:     13.5             NA     0.4242381  0.056444810 159 0.16 :(
##  6:     16.5             NA     0.4198919  0.061658941 159 0.066 .
##  7:     19.5             NA     0.3808893  0.065998113 159 0.055 .
##  8:     22.5             NA     0.3455075  0.028864046 159 0.41 :(
##  9:     25.5             NA     0.3618224  0.087511505 159 0.014 *
## 10:     28.5             NA     0.3668361  0.082769784 159 0.036 *
##     time   error.diff shapes
##  1:  1.5 -0.077020192     16
##  2:  4.5 -0.005671028     16
##  3:  7.5  0.011977466     16
##  4: 10.5  0.001215855     16
##  5: 13.5  0.056444810     16
##  6: 16.5  0.061658941     16
##  7: 19.5  0.065998113     16
##  8: 22.5  0.028864046     16
##  9: 25.5  0.087511505     24
## 10: 28.5  0.082769784     24